METHODOLOGY: A prospective observational study was conducted by inviting pre-dialysis CKD patients. Fluid overload was assessed by BIS.
RESULTS: A total of 312 CKD patients with mean eGFR 24.5 ± 11.2 ml/min/1.73 m2were enrolled. Based on OH value ≥7 %, 135 (43.3 %) patients were hypervolemic while euvolemia was observed in 177 (56.7 %) patients. Patients were categorized in different regions of hydration reference plot (HRP) generated by BIS i.e., 5.1 % in region-N (normal BP and fluid status), 20.5 % in region I (hypertensive with severe fluid overload), 29.5 % in region I-II (hypertensive with mild fluid overload), 22 % in region II (hypertensive with normohydration), 10.2 % in region III (underhydration with normal/low BP) and 12.5 % in region IV (normal BP with severe fluid overload). A total of 144 (46 %) patients received diuretics on basis of physician assessment of BP and edema. Maximum diuretics 100 (69.4 %) were prescribed in patients belonging to regions I and I-II of HRP. Interestingly, a similar number of diuretic prescriptions were observed in region II (13 %) and region IV (12 %). Surprisingly, 7 (4.9 %) of patients in region III who were neither hypervolemic nor hypertensive were also prescribed with diuretics.
CONCLUSION: BIS can aid clinicians to categorize CKD patients on basis of their fluid status and provide individualized pharmacotherapy to manage hypertensive CKD patients.
METHOD: In this work, resting-state EEG-derived features were utilized as input data to the proposed feature selection and classification method. The aim was to perform automatic classification of AUD patients and healthy controls. The validation of the proposed method involved real-EEG data acquired from 30 AUD patients and 30 age-matched healthy controls. The resting-state EEG-derived features such as synchronization likelihood (SL) were computed involving 19 scalp locations resulted into 513 features. Furthermore, the features were rank-ordered to select the most discriminant features involving a rank-based feature selection method according to a criterion, i.e., receiver operating characteristics (ROC). Consequently, a reduced set of most discriminant features was identified and utilized further during classification of AUD patients and healthy controls. In this study, three different classification models such as Support Vector Machine (SVM), Naïve Bayesian (NB), and Logistic Regression (LR) were used.
RESULTS: The study resulted into SVM classification accuracy=98%, sensitivity=99.9%, specificity=95%, and f-measure=0.97; LR classification accuracy=91.7%, sensitivity=86.66%, specificity=96.6%, and f-measure=0.90; NB classification accuracy=93.6%, sensitivity=100%, specificity=87.9%, and f-measure=0.95.
CONCLUSION: The SL features could be utilized as objective markers to screen the AUD patients and healthy controls.
METHODS: The NFS was calculated and LSM obtained for consecutive adult NAFLD patients scheduled for liver biopsy. The accuracy of predicting advanced fibrosis using either modality and in combination were assessed. An algorithm combining the NFS and LSM was developed from a training cohort and subsequently tested in a validation cohort.
RESULTS: There were 101 and 46 patients in the training and validation cohort, respectively. In the training cohort, the percentages of misclassifications using the NFS alone, LSM alone, LSM alone (with grey zone), both tests for all patients and a 2-step approach using LSM only for patients with indeterminate and high NFS were 5.0, 28.7, 2.0, 2.0 and 4.0 %, respectively. The percentages of patients requiring liver biopsy were 30.7, 0, 36.6, 36.6 and 18.8 %, respectively. In the validation cohort, the percentages of misclassifications were 8.7, 28.3, 2.2, 2.2 and 8.7 %, respectively. The percentages of patients requiring liver biopsy were 28.3, 0, 41.3, 43.5 and 19.6 %, respectively.
CONCLUSIONS: The novel 2-step approach further reduced the number of patients requiring a liver biopsy whilst maintaining the accuracy to predict advanced fibrosis. The combination of NFS and LSM for all patients provided no apparent advantage over using either of the tests alone.
METHODS: A longitudinal study of biopsy-proven NAFLD patients was conducted at the Asian tertiary hospital from November 2012 to January 2017. Patients with paired liver biopsies and LSM were followed prospectively for liver-related and non-liver related complications, and survival.
RESULTS: The data for 113 biopsy-proven NAFLD patients (mean age 51.3 ± 10.6 years, male 50%) were analyzed. At baseline, advanced fibrosis based on histology and LSM was observed in 22 and 46%, respectively. Paired liver biopsy and LSM at 1-year interval was available in 71 and 80% of patients, respectively. High-risk cases (defined as patients with advanced fibrosis at baseline who had no fibrosis improvement, and patients who developed advanced fibrosis on repeat assessment) were seen in 23 and 53% of patients, based on paired liver biopsy and LSM, respectively. Type 2 diabetes mellitus was independently associated with high-risk cases. The median follow-up was 37 months with a total follow-up of 328 person-years. High-risk cases based on paired liver biopsy had significantly higher rates of liver-related complications (p = 0.002) but no difference in other outcomes. High-risk patients based on paired LSM had a significantly higher rate of liver-related complications (p = 0.046), cardiovascular events (p = 0.025) and composite outcomes (p = 0.006).
CONCLUSION: Repeat LSM can predict liver-related complications, similar to paired liver biopsy, and may be useful in identifying patients who may be at an increased risk of cardiovascular events. Further studies in a larger cohort and with a longer follow-up should be carried out to confirm these observations.
MATERIALS AND METHODS: A prospective clinical study was performed on all patients undergoing ureterorenoscopy and lithotripsy for ureteral stones with obstruction between December 1, 2000 and January 31, 2002. We obtained MSU, renal pelvic urine and fragmented stones for culture and sensitivity. An analysis of the data was performed to assess statistical association.
RESULTS: A total of 73 patients who fulfilled the criteria were recruited. Of these patients 25 (34.3%) had positive stone culture, 43 (58.9%) had positive pelvic urine and 21 (28.8%) patients had positive MSU C&S. Stone and pelvic C&S were positive simultaneously in 17 (23.3%) cases, MSU and stone C&S were positive in 8 (10.9%) cases, whereas pelvic and MSU C&S were positive in 13 (16.4%) cases (p = 0.03). MSU C&S had a sensitivity of 30.2% and specificity of 73% to detect pelvic urine C&S positivity. MSU C&S had a low positive predictive value and negative predictive value (NPV) in relation to infected pelvic urine (positive predictive value = 0.62, NPV = 0.42). Pelvic urine C&S had a NPV of 0.73 in detecting noninfected stones.
CONCLUSIONS: The results of this study suggest that in obstructive uropathy secondary to a stone MSU C&S is a poor predictor of infected urine proximal to the obstruction and infected stones.
METHODS: A prospective study spanning 27 months was conducted at the University Hospital, Kuala Lumpur. Serum CEA (Abbott IMx) and serum squamous cell carcinoma antigen (Abbott IMx) from patients clinically suspected of having primary carcinoma of the lung, were assayed using the microparticle enzyme immunoassay method.
RESULTS: Thirty seven cases of histologically confirmed primary lung carcinoma were studied. Of these, 17 were squamous cell carcinomas, 10 adenocarcinomas, nine small cell carcinomas, and one large cell carcinoma. The patients' ages ranged from 34-82 years. The male:female ratio was 3.6:1. Squamous cell carcinoma antigen was raised above the cutoff value of 1.5 ng/ml in 94.1% of squamous cell carcinomas, 20.0% of adenocarcinomas, and 11.1% of small cell carcinomas. By comparison, CEA was raised above the cutoff value of 3.0 ng/ml in 70.6% of squamous cell carcinomas, 77.8% of small cell carcinomas, and 100% of adenocarcinomas. CEA and squamous cell carcinoma antigen were not raised in the patient with large cell carcinoma and in 14 healthy volunteers. None of 15 patients with a variety of benign lung diseases showed a rise of CEA, while two patients--a 25 year old Indian woman with pneumonia and a 64 year old Malay man with bronchial asthma--had raised squamous cell carcinoma antigen values above the cutoff. Serum CEA and squamous cell carcinoma antigen values did not seem to correlate with stage or degree of differentiation of the tumours.
CONCLUSIONS: The findings suggest that CEA is a good general marker for carcinoma, particularly adenocarcinoma. In contrast, squamous cell carcinoma antigen is more specific for squamous carcinoma.
METHODS: Twenty-five final year physiotherapy students were asked to view and interpret the findings of six CXRs, together with a brief vignette, typical of a single commonly encountered diagnosis. Students were also asked if they had received additional CXR training on placement or had a desire to specialize in respiratory care.
RESULTS: The CXR interpretations were scored as incorrect 0, partially correct 1 (abnormality detected but not able to diagnose or missed some detail) and 2 correct. Scores for each of the six CXRs were added to give a total score (out of 12). The median score was 3 out of 12, (range 0-9). Median scores were slightly higher at 4 out of 12 in those students with additional training or a desire to specialize (range 1-7), but this was not statistically significant (p = 0.43).
CONCLUSIONS: Final year physiotherapy students were not able to reliably interpret CXRs. These findings were consistent with previous published research involving medical students. Therefore on graduation before starting "on call" duties it is recommended newly qualified physiotherapists receive additional training in CXR interpretation.